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Remote Storage Engineer Jobs in California (NOW HIRING)

Senior Software Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

... storage, including capacity planning and resilience to failures * Participate in on-call for ... Employee divides their time between in-office and remote work. Access to an office location is ...

Lead Control System Engineer

Ripon, CA · Remote

$98K - $120K/hr

... storage, semiconductor, food and beverage processing and packaging, and factory automation. ICS is ... Design, configure, and support remote access and telemetry solutions using Ethernet, industrial ...

Remote ## Position Overview We are dedicated to crafting, scaling, and maintaining high-performance ... API, and storage. Our tech stack includes SolidJS, Typescript, and Postgres. ## Role ...

Remote ## Position Overview We are dedicated to crafting, scaling, and maintaining high-performance ... API, and storage. Our tech stack includes SolidJS, Typescript, and Postgres. ## Role ...

Civil Engineer - Level 2

Irvine, CA · On-site +1

$115K - $130K/yr

Remote CIVIL ENGINEER - LEVEL 2 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine, CA, specializes in providing utility-scale modules, solar photovoltaic (PV), and battery energy storage ...

Software QA Engineer(Remote)

San Jose, CA · On-site +1

$155K - $222K/yr

Your Impact As a QA Engineer, you will lead the quality assurance efforts for Hypershield ... logging and storage-to guarantee a robust and reliable user experience. By designing and ...

Showing results 41-60

Remote Storage Engineer information

See California salary details

$10

$55

$82

How much do remote storage engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote storage engineer in California is $55.47, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $65.48 per hour, depending on experience, location, and employer.

What is a remote storage engineer?

A Remote Storage Engineer is an IT professional who specializes in designing, implementing, and managing data storage solutions for organizations while working remotely. Their responsibilities include configuring storage systems, troubleshooting storage-related issues, ensuring data security, and optimizing storage performance. They often work with technologies such as cloud storage, SAN (Storage Area Network), and NAS (Network Attached Storage). Remote Storage Engineers play a crucial role in maintaining data integrity and accessibility, especially for businesses with distributed or cloud-based infrastructure.

What does a remote storage engineer do?

As a remote storage engineer, you work from home to design and maintain information storage systems for clients. In this virtual position, your duties involve creating a database infrastructure that meets the needs of each client with whom you work. Part of your job involves assessing the specific needs of the client and designing appropriate solutions. You build or configure software, hardware, or cloud-computing systems, and you provide support and training for the employees who use the system. Other responsibilities include making updates, backing up data, and building and monitoring the network that connects to the data storage system.

What are the key skills and qualifications needed to thrive as a remote storage engineer, and why are they important?

To thrive as a Remote Storage Engineer, you need strong expertise in storage technologies, data management, and backup solutions, typically backed by a degree in computer science or a related field. Familiarity with systems like SAN/NAS, cloud storage platforms (e.g., AWS, Azure), and certifications such as CompTIA Storage+ or vendor-specific credentials are highly valued. Excellent problem-solving, communication, and self-management skills help you address issues efficiently while collaborating across remote teams. These skills and qualities ensure robust data availability, security, and seamless support for distributed enterprise environments.

How do remote storage engineers typically collaborate with on-site IT teams to resolve storage issues?

Remote Storage Engineers frequently work closely with on-site IT teams to diagnose and resolve storage-related incidents. This collaboration often involves remote access to systems, regular video or conference calls, and utilizing ticketing systems to track progress. Strong communication skills are essential, as Remote Storage Engineers must clearly document troubleshooting steps and coordinate actions, sometimes even guiding on-site staff through physical hardware checks or replacements. This teamwork ensures efficient resolution of issues despite physical distance.

What is the difference between Remote Storage Engineer vs Cloud Storage Administrator?

AspectRemote Storage EngineerCloud Storage Administrator
Required CredentialsIT certifications, storage-specific certifications (e.g., SNIA, CompTIA Storage+)Cloud platform certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentData centers, remote offices, or cloud environmentsCloud platforms, remote or on-premises
Employer & Industry UsageIT companies, data centers, cloud providersCloud service providers, enterprises using cloud storage
Common Search & Comparison IntentUnderstanding storage infrastructure rolesManaging and optimizing cloud storage solutions

The main difference is that Remote Storage Engineers focus on designing, implementing, and maintaining storage systems across various environments, including data centers and cloud platforms. Cloud Storage Administrators primarily manage and optimize storage within cloud platforms like AWS or Azure. Both roles require storage knowledge, but their focus and certifications differ based on the environment they work in.

What are the most commonly searched types of Storage Engineer jobs in California?

The most popular types of Storage Engineer jobs in California are:

What job categories do people searching Remote Storage Engineer jobs in California look for?

The top searched job categories for Remote Storage Engineer jobs in California are:

What cities in California are hiring for Remote Storage Engineer jobs?

Cities in California with the most Remote Storage Engineer job openings:

Infographic showing various Remote Storage Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,385 per year, or $55.5 per hour.

Hyperbolic Labs - Senior GPU Infrastructure Engineer

San Francisco, CA • On-site, Remote

$127K - $173K/yr

Full-time

Re-posted 20 days ago


Job description

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math, and Computer Science - is poised to redefine computing.
About the Role
We're seeking a Senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers.
Who You Are
  • Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
  • Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization
  • Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation
  • Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints
  • Proficiency with API design and cloud-init for automated provisioning and configuration
  • Solid understanding of GPU architecture, CUDA, and GPU compute optimization
  • Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders
  • Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations
  • Experience building and scaling cloud infrastructure or distributed systems in production environments